PLENARY IV: Integrating AI and Big Data in Healthcare: Practical Approaches for Rehabilitation Medicine Professionals 2792

Recent advancements in AI and Big Data have significantly transformed healthcare, particularly through wearable patient monitoring, telemedicine, and healthcare operations optimization. These technologies are crucial for accurate diagnoses, prognoses, and personalized interventions. However, their integration is challenged by data quality, AI biases, privacy concerns, regulatory compliance, and system integration. Essential issues include ensuring robust data for reliable AI predictions, addressing algorithm biases, protecting patient privacy, navigating complex regulatory frameworks, and seamlessly integrating AI into existing healthcare systems. This symposium will explore these challenges and discuss potential solutions, featuring biostatistics experts from Icahn School of Medicine at Mount Sinai. They will highlight innovative strategies to overcome these barriers, emphasizing how AI can be effectively utilized in clinical settings. Examples from various projects will demonstrate AI applications in wearable technology and health prognosis. The primary audience includes Rehabilitation Medicine professionals aiming to enhance their implementation of AI in clinical practice.